STANDALONE AI
📊

Broker Management Platform

AI-first operations for insurance brokers — CRM, commercial cycle, commissions.

An AI-first operational system for insurance brokers: customers, commercial activity, day-to-day tasks, and the commission relationship with insurers. Documents and emails enter the system directly, AI extracts the structured information, and users approve the result instead of typing it.

Leads → Proposals → Policies · commissions reconciled
Why it matters

Brokers run on documents and email. The platform makes ingestion the core: every PDF, report, and message becomes structured, approved data — so commissions are verifiable and nothing depends on re-keying.

Key capabilities

What Broker Management Platform covers

CRM — persons & legal entities with full historyLeads → Proposals → Policies lifecycleTask management per employeeInsurer, product & commission configurationCommission reconciliation — expected vs reportedAI ingestion of emails, PDFs, reportsAutomated renewal reminders & campaignsCarrier statement auto-extraction & matchingDashboards & commission reportingUsers & permissions with MFA / SSOFull audit logSingle-tenant per brokerEnglish & Portuguese
Platform highlights

Why teams choose Broker Management Platform

Commission reconciliation

Expected commission from configured rules (percentages, tiers, splits, overrides), automatically matched against insurer reports.

AI ingestion with approval

Unstructured broker inputs become structured records with human approval and a full audit trail.

Commercial lifecycle

Lead → Proposal → Policy with clear states, renewals, and per-employee task views.

Extensible

AI intelligence layer, multi-insurer proposal comparison, claims component, and mailbox / insurer-portal integrations as add-ons.

AI at the core

From document to approved record

01

Receive

Documents arrive by CC / forward to a dedicated ingestion email or drag-and-drop upload.

02

Extract

AI extracts identity, policy, commission line items, email intent, and due dates.

03

Approve

Every extraction is a pre-filled form to accept, edit, or reject — source document stays attached.

04

Reconcile

Insurer reports are matched by policy and period; discrepancies go to a review queue: matched, written off, or disputed.

Where it works

Use cases that make the difference

Broker operations

The full commercial and commission foundation with AI-prepared data at the core.

Commission control

Verifiable commissions per policy, period, and employee — discrepancies handled in a controlled queue.

Best fit
Insurance brokersBroker networksCommission-heavy operations
Outcome

Run the broker operation on structured, AI-prepared data — with verifiable commissions, traceable approvals, and a foundation that scales into AI-assisted workflows.

Common questions

FAQ

How is this different from a generic CRM?

It is built around the broker commission relationship: insurer/product/commission configuration, expected-vs-reported reconciliation, discrepancy queues, and AI ingestion of carrier documents — things a generic CRM does not model.

How does AI ingestion actually work?

Forward an email or drop a PDF — AI extracts identity, policy, commission line items, intent, and due dates, then presents a pre-filled form to accept, edit, or reject. The source document stays attached; every approval is audited. You approve data instead of typing it.

What happens when an insurer report does not match?

Line items are auto-matched by policy number and period; discrepancies route to a review queue with three outcomes: matched, written off, or disputed with insurer — so nothing silently disappears.

Is our data shared with other brokers?

No — single-tenant deployment per broker. Authentication via email+MFA or Google / Microsoft 365 SSO.

Goes well with

Related products

See all in Insurance

Try it on your data

Two weeks. Your environment. A working proof of concept under NDA — see the impact before any commitment.